Comparison and Assessment of Three Advanced Land Surface Models in Simulating Terrestrial Water Storage Components over the United States
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Bailing Li | David Mocko | Matthew Rodell | Maoyi Huang | Xitian Cai | Youlong Xia | Kenneth E. Mitchell | D. Mocko | M. Ek | K. Mitchell | M. Rodell | Maoyi Huang | Youlong Xia | Xitian Cai | Bailing Li | Michael Ek
[1] J. D. Tarpley,et al. Land surface model spin‐up behavior in the North American Land Data Assimilation System (NLDAS) , 2003 .
[2] S. Bettadpur,et al. Ensemble prediction and intercomparison analysis of GRACE time‐variable gravity field models , 2014 .
[3] R. Koster,et al. Assimilation of GRACE terrestrial water storage into a land surface model: Evaluation and potential value for drought monitoring in western and central Europe , 2012 .
[4] M. Rodell,et al. Evaluation of a Model-Based Groundwater Drought Indicator in the Conterminous U.S. , 2015 .
[5] Dennis P. Lettenmaier,et al. Noah LSM Snow Model Diagnostics and Enhancements , 2010 .
[6] John Kochendorfer,et al. U.S. Climate Reference Network Soil Moisture and Temperature Observations , 2013 .
[7] Xubin Zeng,et al. Improving the Numerical Solution of Soil Moisture-Based Richards Equation for Land Models with a Deep or Shallow Water Table , 2009 .
[8] X. Zeng,et al. Improving the treatment of the vertical snow burial fraction over short vegetation in the NCAR CLM3 , 2009 .
[9] A. Slater,et al. A multimodel simulation of pan-Arctic hydrology , 2007 .
[10] Zong-Liang Yang,et al. Assessment of simulated water balance from Noah, Noah‐MP, CLM, and VIC over CONUS using the NLDAS test bed , 2014 .
[11] A. Bondeau,et al. Towards global empirical upscaling of FLUXNET eddy covariance observations: validation of a model tree ensemble approach using a biosphere model , 2009 .
[12] Zhenghui Xie,et al. A new parameterization for surface and groundwater interactions and its impact on water budgets with the variable infiltration capacity (VIC) land surface model , 2003 .
[13] D. Lawrence,et al. Parameterization improvements and functional and structural advances in Version 4 of the Community Land Model , 2011 .
[14] F. Bryan,et al. Time variability of the Earth's gravity field: Hydrological and oceanic effects and their possible detection using GRACE , 1998 .
[15] Steven M. Quiring,et al. Comparison of NLDAS-2 Simulated and NASMD Observed Daily Soil Moisture. Part I: Comparison and Analysis , 2015 .
[16] A. Robock,et al. The Global Soil Moisture Data Bank , 2000 .
[17] J. D. Tarpley,et al. Evaluation of the North American Land Data Assimilation System over the southern Great Plains during the warm season , 2003 .
[18] J. D. Tarpley,et al. The multi‐institution North American Land Data Assimilation System (NLDAS): Utilizing multiple GCIP products and partners in a continental distributed hydrological modeling system , 2004 .
[19] Liang Chang,et al. Monitoring Groundwater Variations from Satellite Gravimetry and Hydrological Models: A Comparison with in-situ Measurements in the Mid-Atlantic Region of the United States , 2015, Remote. Sens..
[20] Keith W. Oleson,et al. The Effects of Remotely Sensed Plant Functional Type and Leaf Area Index on Simulations of Boreal Forest Surface Fluxes by the NCAR Land Surface Model , 2000 .
[21] Peter E. Thornton,et al. Improvements to the Community Land Model and their impact on the hydrological cycle , 2008 .
[22] Zong-Liang Yang,et al. A simple TOPMODEL-based runoff parameterization (SIMTOP) for use in global climate models , 2005 .
[23] Thomas J. Jackson,et al. Estimating soil water‐holding capacities by linking the Food and Agriculture Organization Soil map of the world with global pedon databases and continuous pedotransfer functions , 2000 .
[24] I. E. Woodrow,et al. A Model Predicting Stomatal Conductance and its Contribution to the Control of Photosynthesis under Different Environmental Conditions , 1987 .
[25] G. Hornberger,et al. A Statistical Exploration of the Relationships of Soil Moisture Characteristics to the Physical Properties of Soils , 1984 .
[26] David D. Parrish,et al. NORTH AMERICAN REGIONAL REANALYSIS , 2006 .
[27] Zong-Liang Yang,et al. Preliminary study of spin‐up processes in land surface models with the first stage data of Project for Intercomparison of Land Surface Parameterization Schemes Phase 1(a) , 1995 .
[28] A. Robock,et al. Temporal and spatial scales of observed soil moisture variations in the extratropics , 2000 .
[29] B. Scanlon,et al. Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites , 2014 .
[30] Praveen Kumar,et al. A catchment‐based approach to modeling land surface processes in a general circulation model: 1. Model structure , 2000 .
[31] Steven Platnick,et al. MODIS-Derived Spatially Complete Surface Albedo Products: Spatial and Temporal Pixel Distribution and Zonal Averages , 2008 .
[32] Zong-Liang Yang,et al. Effects of Frozen Soil on Snowmelt Runoff and Soil Water Storage at a Continental Scale , 2006 .
[33] D. Verseghy,et al. Class—A Canadian land surface scheme for GCMS. I. Soil model , 2007 .
[34] Hosni Ghedira,et al. Application of Satellite Microwave Images in Estimating Snow Water Equivalent1 , 2008 .
[35] Tsegaye Tadesse,et al. Assessing the evolution of soil moisture and vegetation conditions during the 2012 United States flash drought , 2016 .
[36] Aaron A. Berg,et al. Impact of bias correction to reanalysis products on simulations of North American soil moisture and hydrological fluxes , 2003 .
[37] Lisa J. Graumlich,et al. Interactive Canopies for a Climate Model , 1998 .
[38] K. Mo,et al. Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products , 2012 .
[39] F. Landerer,et al. Accuracy of scaled GRACE terrestrial water storage estimates , 2012 .
[40] P. Tregoning,et al. A global water cycle reanalysis (2003-2012) merging satellite gravimetry and altimetry observations with a hydrological multi-model ensemble , 2013 .
[41] Bridget R. Scanlon,et al. Evaluation of groundwater storage monitoring with the GRACE satellite: Case study of the High Plains aquifer, central United States , 2009 .
[42] J. D. Tarpley,et al. Real‐time and retrospective forcing in the North American Land Data Assimilation System (NLDAS) project , 2003 .
[43] R. Dickinson,et al. The Community Land Model and Its Climate Statistics as a Component of the Community Climate System Model , 2006 .
[44] Peter H. Stone,et al. Efficient Three-Dimensional Global Models for Climate Studies: Models I and II , 1983 .
[45] Yinghai Ke,et al. Development of high resolution land surface parameters for the Community Land Model , 2012 .
[46] Naota Hanasaki,et al. GSWP-2 Multimodel Analysis and Implications for Our Perception of the Land Surface , 2006 .
[47] Carrie M. Vuyovich,et al. Comparison of passive microwave and modeled estimates of total watershed SWE in the continental United States , 2014 .
[48] Kevin W. Manning,et al. The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements , 2011 .
[49] M. Ek,et al. Continental‐scale water and energy flux analysis and validation for North American Land Data Assimilation System project phase 2 (NLDAS‐2): 2. Validation of model‐simulated streamflow , 2012 .
[50] Max J. Suarez,et al. The Impact of Detailed Snow Physics on the Simulation of Snow Cover and Subsurface Thermodynamics at Continental Scales , 2001 .
[51] K. Verdin,et al. Evaluation of SNODAS snow depth and snow water equivalent estimates for the Colorado Rocky Mountains, USA , 2011 .
[52] Lifeng Luo,et al. Basin‐Scale Assessment of the Land Surface Energy Budget in the NCEP Operational and Research NLDAS‐2 Systems , 2015 .
[53] Zong-Liang Yang,et al. Development of a simple groundwater model for use in climate models and evaluation with Gravity Recovery and Climate Experiment data , 2007 .
[54] G. Lannoy,et al. Global Calibration of the GEOS-5 L-Band Microwave Radiative Transfer Model over Nonfrozen Land Using SMOS Observations , 2013 .
[55] G. Gutman,et al. Mapping global land surface albedo from NOAA AVHRR , 1999 .
[56] G. Niu,et al. The Versatile Integrator of Surface and Atmosphere processes: Part 1. Model description , 2003 .
[57] Sujay V. Kumar,et al. Land information system: An interoperable framework for high resolution land surface modeling , 2006, Environ. Model. Softw..
[58] J. D. Tarpley,et al. Surface radiation budgets in support of the GEWEX Continental‐Scale International Project (GCIP) and the GEWEX Americas Prediction Project (GAPP), including the North American Land Data Assimilation System (NLDAS) project , 2003 .
[59] Yinghai Ke,et al. Uncertainty Analysis of Runoff Simulations and Parameter Identifiability in the Community Land Model: Evidence from MOPEX Basins , 2013 .
[60] S. Schubert,et al. MERRA: NASA’s Modern-Era Retrospective Analysis for Research and Applications , 2011 .
[61] T. Jackson,et al. The USDA Natural Resources Conservation Service Soil Climate Analysis Network (SCAN) , 2007 .
[62] Fei Chen,et al. The effect of groundwater interaction in North American regional climate simulations with WRF/Noah-MP , 2015, Climatic Change.
[63] Douglas A. Miller,et al. A Conterminous United States Multilayer Soil Characteristics Dataset for Regional Climate and Hydrology Modeling , 1998 .
[64] S. Swenson,et al. Accuracy of GRACE mass estimates , 2006 .
[65] Bailing Li,et al. Groundwater Variability Across Temporal and Spatial Scales in the Central and Northeastern U.S. , 2015 .
[66] R. Houborg,et al. Drought indicators based on model‐assimilated Gravity Recovery and Climate Experiment (GRACE) terrestrial water storage observations , 2012 .
[67] Matthew Rodell,et al. Total basin discharge for the Amazon and Mississippi River basins from GRACE and a land‐atmosphere water balance , 2005 .
[68] Dawei Han,et al. Appraisal of NLDAS-2 Multi-Model Simulated Soil Moistures for Hydrological Modelling , 2015, Water Resources Management.
[69] M. Watkins,et al. The gravity recovery and climate experiment: Mission overview and early results , 2004 .
[70] J. D. Tarpley,et al. Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model , 2003 .
[71] Jeffrey B. Basara,et al. Estimating profile soil moisture and groundwater variations using GRACE and Oklahoma Mesonet soil moisture data , 2008 .
[72] J. Dudhia,et al. Noah land surface model modifications to improve snowpack prediction in the Colorado Rocky Mountains , 2010 .
[73] Feng Gao,et al. Multiscale climatological albedo look-up maps derived from moderate resolution imaging spectroradiometer BRDF/albedo products , 2014 .
[74] Maoyi Huang,et al. Classification of hydrological parameter sensitivity and evaluation of parameter transferability across 431 US MOPEX basins , 2016 .
[75] Cédric H. David,et al. Hydrological evaluation of the Noah‐MP land surface model for the Mississippi River Basin , 2014 .
[76] Huilin Gao,et al. Modeling the Effects of Groundwater-Fed Irrigation on Terrestrial Hydrology over the Conterminous United States , 2014 .
[77] C. Daly,et al. A Statistical-Topographic Model for Mapping Climatological Precipitation over Mountainous Terrain , 1994 .
[78] Lifeng Luo,et al. Basin‐scale assessment of the land surface water budget in the National Centers for Environmental Prediction operational and research NLDAS‐2 systems , 2016 .
[79] J. Famiglietti,et al. Improving parameter estimation and water table depth simulation in a land surface model using GRACE water storage and estimated base flow data , 2010 .
[80] Philip J. Rasch,et al. Present-day climate forcing and response from black carbon in snow , 2006 .
[81] M. Ek,et al. Evaluation of multi-model simulated soil moisture in NLDAS-2 , 2014 .
[82] F. LeMoine,et al. Resolving mass flux at high spatial and temporal resolution using GRACE intersatellite measurements , 2005 .
[83] H. V. D. Dool,et al. 1948–98 U.S. Hydrological Reanalysis by the Noah Land Data Assimilation System , 2006 .
[84] M. Ek,et al. Comparison of NLDAS-2 Simulated and NASMD Observed Daily Soil Moisture. Part II: Impact of Soil Texture Classification and Vegetation Type Mismatches , 2015 .
[85] Dmitry J. Nicolsky,et al. An evaluation of deep soil configurations in the CLM3 for improved representation of permafrost , 2007 .
[86] Victor Zlotnicki,et al. Time‐variable gravity from GRACE: First results , 2004 .
[87] Marc Lynch-Stieglitz,et al. The development and validation of a simple snow model for the GISS GCM , 1994 .
[88] S. Swenson,et al. A comparison of terrestrial water storage variations from GRACE with in situ measurements from Illinois , 2006 .
[89] J. Famiglietti,et al. Estimating groundwater storage changes in the Mississippi River basin (USA) using GRACE , 2007 .
[90] J. Verdin,et al. Large scale snow water equivalent status monitoring: comparison of different snow water products in the upper Colorado Basin , 2013 .
[91] Bradley G. Illston,et al. New Soil Property Database Improves Oklahoma Mesonet Soil Moisture Estimates , 2013 .
[92] David M. Lawrence,et al. A GRACE‐based assessment of interannual groundwater dynamics in the Community Land Model , 2015 .
[93] Kevin W. Manning,et al. The community Noah land surface model with multiparameterization options (Noah-MP): 2. Evaluation over global river basins , 2011 .
[94] C. Hughes,et al. Observing seasonal bottom pressure variability in the North Pacific with GRACE , 2006 .
[95] M. Palecki,et al. THE DROUGHT MONITOR , 2002 .
[96] R. Vogel,et al. Annual hydroclimatology of the United States , 2000 .
[97] Bruno Merz,et al. A global analysis of temporal and spatial variations in continental water storage , 2007 .
[98] J. Janowiak,et al. CMORPH: A Method that Produces Global Precipitation Estimates from Passive Microwave and Infrared Data at High Spatial and Temporal Resolution , 2004 .
[99] Gabrielle De Lannoy,et al. Global Assimilation of Multiangle and Multipolarization SMOS Brightness Temperature Observations into the GEOS-5 Catchment Land Surface Model for Soil Moisture Estimation , 2016 .
[100] Wei Yu,et al. Fully coupled atmosphere‐hydrology simulations for the central Mediterranean: Impact of enhanced hydrological parameterization for short and long time scales , 2015 .
[101] M. Ek,et al. Automated Quality Control of in Situ Soil Moisture from the North American Soil Moisture Database Using NLDAS-2 Products , 2015 .
[102] John L. Schroeder,et al. The West Texas Mesonet: A Technical Overview , 2005 .
[103] D. Lettenmaier,et al. A simple hydrologically based model of land surface water and energy fluxes for general circulation models , 1994 .
[104] P. Jarvis. The Interpretation of the Variations in Leaf Water Potential and Stomatal Conductance Found in Canopies in the Field , 1976 .
[105] D. Randall,et al. A Revised Land Surface Parameterization (SiB2) for Atmospheric GCMS. Part I: Model Formulation , 1996 .
[106] Daniel W. Goldberg,et al. The North American Soil Moisture Database: Development and Applications , 2016 .